A NEW METHOD FOR HANDLING THE TRAVELING SALESMAN PROBLEM BASED ON PARALLELIZED GENETIC ANT COLONY SYSTEMS

摘要：

In this paper, we present a new method for handling the traveling salesman problem, called the parallelized genetic ant colony systems (PGACS). The proposed method combines genetic algorithms with new crossover operations, hybrid mutation operations and ant colony systems with communication strategies. We also make an experiment using three well-known data sets of the traveling salesman problem. The experiment results show that the performance of the proposed method is better than the method presented in 2 in both the result and the convergence time.

关键词： Ant colony systems Genetic algorithms Parallelization Traveling salesman problem Parallelized genetic ant colony systems

作者: CHIH-YAO CHIEN SHYI-MING CHEN

作者单位: Department of Computer Science and Information Engineering, National Taiwan University of Science an Department of Computer Science and Information Engineering, National Taiwan University of Science an

会议类型: 国际会议

会议名称: 2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

会议地点: 保定

会议语种:英文

页码: 2828-2833

在线出版日期: 2009-07-12（万方平台首次上网日期，不代表论文的发表时间）